Machine-Learning-Game-Ideas VS chicksexer

Compare Machine-Learning-Game-Ideas vs chicksexer and see what are their differences.

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Machine-Learning-Game-Ideas chicksexer
1 1
0 82
- -
10.0 0.0
about 2 years ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Machine-Learning-Game-Ideas

Posts with mentions or reviews of Machine-Learning-Game-Ideas. We have used some of these posts to build our list of alternatives and similar projects.

chicksexer

Posts with mentions or reviews of chicksexer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Machine-Learning-Game-Ideas and chicksexer you can also consider the following projects:

deepNOID - deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED

Tensorflow-Lyrics-Generator - Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs

MenstruatioNN - LSTM to predict menstruation and menstrual cycles.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

nalp - 🗣️ NALP is a library that covers Natural Adversarial Language Processing.

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

sru - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)